The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Genevieve N Healy - One of the best experts on this subject based on the ideXlab platform.
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usage acceptability and effectiveness of an Activity Tracker in a randomized trial of a workplace sitting intervention mixed methods evaluation
The Journal of medical research, 2018Co-Authors: Charlotte L Brakenridge, Elisabeth A H Winkler, Genevieve N Healy, Brianna S FjeldsoeAbstract:Background: Wearable Activity Trackers are now a common feature of workplace wellness programs; however, their ability to impact sitting time (the behavior in which most of the desk-based workday is spent) is relatively unknown. This study evaluated the LUMOback, an Activity Tracker that targets sitting time, as part of a cluster-randomized workplace sitting intervention in desk-based office workers. Objective: Study objectives were to explore: (1) office workers’ self-directed LUMOback use, (2) individual-level characteristics associated with LUMOback use, (3) the impact of LUMOback use on Activity and sitting behaviors, and (4) office workers’ perceived LUMOback acceptability. Methods: Exploratory analyses were conducted within the Activity Tracker intervention group (n=66) of a 2-arm cluster-randomized trial (n=153) with follow-up at 3 and 12 months. The intervention, delivered from within the workplace, consisted of organizational support strategies (eg, manager support, emails) to stand up, sit less, and move more, plus the provision of a LUMOback Activity Tracker. The LUMOback, worn belted around the waist, provides real-time sitting feedback through a mobile app. LUMOback usage data (n=62), Web-based questionnaires (n=33), activPAL-assessed sitting, prolonged (≥30 min bouts) and nonprolonged (<30 min bouts) sitting, standing and stepping time (7-day, 24 h/day protocol; n=40), and telephone interviews (n=27) were used to evaluate study aims. LUMOback usage data were downloaded and described. Associations between user characteristics and LUMOback usage (in the first 3 months) were analyzed using zero-inflated negative binomial models. Associations between LUMOback usage and 3-month Activity outcomes were analyzed using mixed models, correcting for cluster. LUMOback acceptability was explored using 3-month questionnaire data and thematic analysis of telephone interviews (conducted 6 to 10 months post intervention commencement). Results: Tracker uptake was modest (43/61, 70%), and among users, usage over the first 3 months was low (1-48 days, median 8). Usage was greatest among team leaders and those with low self-perceived scores for job control and supervisor relationships. Greater Tracker use (≥5 days vs <5 days) was significantly associated only with changes in prolonged unbroken sitting (−50.7 min/16 h; 95% CI −94.0 to −7.3; P=.02) during all waking hours, and changes in nonprolonged sitting (+32.5 min/10 h; 95% CI 5.0 to 59.9; P=.02) during work hours. Participants found the LUMOback easy to use but only somewhat comfortable. Qualitatively, participants valued the real-time app feedback. Nonuptake was attributed to being busy and setup issues. Low usage was attributed to discomfort wearing the LUMOback. Conclusions: The LUMOback—although able to reduce prolonged sitting time—was only used to a limited extent, and its low usage may provide a partial explanation for the limited behavior changes that occurred. Discomfort limited the feasibility of the LUMOback for ongoing use. Such findings yield insight into how to improve upon implementing Activity Trackers in workplace settings. [Interact J Med Res 2018;7(1):e5]
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evaluating the effectiveness of organisational level strategies with or without an Activity Tracker to reduce office workers sitting time a cluster randomised trial
International Journal of Behavioral Nutrition and Physical Activity, 2016Co-Authors: Charlotte L Brakenridge, Brianna S Fjeldsoe, Duncan C Young, Elisabeth A H Winkler, David W Dunstan, Leon Straker, Genevieve N HealyAbstract:Office workers engage in high levels of sitting time. Effective, context-specific, and scalable strategies are needed to support widespread sitting reduction. This study aimed to evaluate organisational-support strategies alone or in combination with an Activity Tracker to reduce sitting in office workers. From one organisation, 153 desk-based office workers were cluster-randomised (by team) to organisational support only (e.g., manager support, emails; ‘Group ORG’, 9 teams, 87 participants), or organisational support plus LUMOback Activity Tracker (‘Group ORG + Tracker’, 9 teams, 66 participants). The waist-worn Tracker provided real-time feedback and prompts on sitting and posture. ActivPAL3 monitors were used to ascertain primary outcomes (sitting time during work- and overall hours) and other Activity outcomes: prolonged sitting time (≥30 min bouts), time between sitting bouts, standing time, stepping time, and number of steps. Health and work outcomes were assessed by questionnaire. Changes within each group (three- and 12 months) and differences between groups were analysed by linear mixed models. Missing data were multiply imputed. At baseline, participants (46 % women, 23–58 years) spent (mean ± SD) 74.3 ± 9.7 % of their workday sitting, 17.5 ± 8.3 % standing and 8.1 ± 2.7 % stepping. Significant (p < 0.05) reductions in sitting time (both work and overall) were observed within both groups, but only at 12 months. For secondary Activity outcomes, Group ORG significantly improved in work prolonged sitting, time between sitting bouts and standing time, and overall prolonged sitting time (12 months), and in overall standing time (three- and 12 months); while Group ORG + Tracker, significantly improved in work prolonged sitting, standing, stepping and overall standing time (12 months). Adjusted for confounders, the only significant between-group differences were a greater stepping time and step count for Group ORG + Tracker relative to Group ORG (+20.6 min/16 h day, 95 % CI: 3.1, 38.1, p = 0.021; +846.5steps/16 h day, 95 % CI: 67.8, 1625.2, p = 0.033) at 12 months. Observed changes in health and work outcomes were small and not statistically significant. Organisational-support strategies with or without an Activity Tracker resulted in improvements in sitting, prolonged sitting and standing; adding a Tracker enhanced stepping changes. Improvements were most evident at 12 months, suggesting the organisational-support strategies may have taken time to embed within the organisation. Australian New Zealand Clinical Trial Registry: ACTRN12614000252617 . Registered 10 March 2014.
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organizational level strategies with or without an Activity Tracker to reduce office workers sitting time rationale and study design of a pilot cluster randomized trial
JMIR Research Protocols, 2016Co-Authors: Charlotte L Brakenridge, Brianna S Fjeldsoe, Duncan C Young, David W Dunstan, Leon Straker, Genevieve N Healy, Elizabeth WinklerAbstract:Background: The office workplace is a key setting in which to address excessive sitting time and inadequate physical Activity. One major influence on workplace sitting is the organizational environment. However, the impact of organizational-level strategies on individual level Activity change is unknown. Further, the emergence of sophisticated, consumer-targeted wearable Activity Trackers that facilitate real-time self-monitoring of Activity, may be a useful adjunct to support organizational-level strategies, but to date have received little evaluation in this workplace setting. Objective: The aim of this study is to evaluate the feasibility, acceptability, and effectiveness of organizational-level strategies with or without an Activity Tracker on sitting, standing, and stepping in office workers in the short (3 months, primary aim) and long-term (12 months, secondary aim). Methods: This study is a pilot, cluster-randomized trial (with work teams as the unit of clustering) of two interventions in office workers: organizational-level support strategies (eg, visible management support, emails) or organizational-level strategies plus the use of a waist-worn Activity Tracker (the LUMOback) that enables self-monitoring of sitting, standing, and stepping time and enables users to set sitting and posture alerts. The key intervention message is to ‘Stand Up, Sit Less, and Move More.’ Intervention elements will be implemented from within the organization by the Head of Workplace Wellbeing. Participants will be recruited via email and enrolled face-to-face. Assessments will occur at baseline, 3, and 12 months. Time spent sitting, sitting in prolonged (≥30 minute) bouts, standing, and stepping during work hours and across the day will be measured with activPAL3 Activity monitors (7 days, 24 hours/day protocol), with total sitting time and sitting time during work hours the primary outcomes. Web-based questionnaires, LUMOback recorded data, telephone interviews, and focus groups will measure the feasibility and acceptability of both interventions and potential predictors of behavior change. Results: Baseline and follow-up data collection has finished. Results are expected in 2016. Conclusions: This pilot, cluster-randomized trial will evaluate the feasibility, acceptability, and effectiveness of two interventions targeting reductions in sitting and increases in standing and stepping in office workers. Few studies have evaluated these intervention strategies and this study has the potential to contribute both short and long-term findings. [JMIR Res Protoc 2016;5(2):e73]
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organizational level strategies with or without an Activity Tracker to reduce office workers sitting time rationale and study design of a pilot cluster randomized trial
JMIR Research Protocols, 2016Co-Authors: Charlotte L Brakenridge, Brianna S Fjeldsoe, Duncan C Young, David W Dunstan, Leon Straker, Genevieve N Healy, Elizabeth WinklerAbstract:Background: The office workplace is a key setting in which to address excessive sitting time and inadequate physical Activity. One major influence on workplace sitting is the organizational environment. However, the impact of organizational-level strategies on individual level Activity change is unknown. Further, the emergence of sophisticated, consumer-targeted wearable Activity Trackers that facilitate real-time self-monitoring of Activity, may be a useful adjunct to support organizational-level strategies, but to date have received little evaluation in this workplace setting. Objective: The aim of this study is to evaluate the feasibility, acceptability, and effectiveness of organizational-level strategies with or without an Activity Tracker on sitting, standing, and stepping in office workers in the short (3 months, primary aim) and long-term (12 months, secondary aim). Methods: This study is a pilot, cluster-randomized trial (with work teams as the unit of clustering) of two interventions in office workers: organizational-level support strategies (eg, visible management support, emails) or organizational-level strategies plus the use of a waist-worn Activity Tracker (the LUMOback) that enables self-monitoring of sitting, standing, and stepping time and enables users to set sitting and posture alerts. The key intervention message is to ‘Stand Up, Sit Less, and Move More.’ Intervention elements will be implemented from within the organization by the Head of Workplace Wellbeing. Participants will be recruited via email and enrolled face-to-face. Assessments will occur at baseline, 3, and 12 months. Time spent sitting, sitting in prolonged (≥30 minute) bouts, standing, and stepping during work hours and across the day will be measured with activPAL3 Activity monitors (7 days, 24 hours/day protocol), with total sitting time and sitting time during work hours the primary outcomes. Web-based questionnaires, LUMOback recorded data, telephone interviews, and focus groups will measure the feasibility and acceptability of both interventions and potential predictors of behavior change. Results: Baseline and follow-up data collection has finished. Results are expected in 2016. Conclusions: This pilot, cluster-randomized trial will evaluate the feasibility, acceptability, and effectiveness of two interventions targeting reductions in sitting and increases in standing and stepping in office workers. Few studies have evaluated these intervention strategies and this study has the potential to contribute both short and long-term findings.
Sari Stenholm - One of the best experts on this subject based on the ideXlab platform.
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the effect of a consumer based Activity Tracker intervention on accelerometer measured sedentary time among retirees a randomized controlled react trial
Journals of Gerontology Series A-biological Sciences and Medical Sciences, 2021Co-Authors: Kristin Suorsa, Tuija Leskinen, Anna Pulakka, Jaana Pentti, Eliisa Loyttyniemi, Ilkka Heinonen, Jussi Vahtera, Sari StenholmAbstract:Background Effective strategies to reverse the increasing trend of sedentary behavior after retirement are needed. The aim of this study was to examine the effect of 12-month Activity Tracker-based intervention on daily total and prolonged sedentary time (≥60 min) among recent retirees. Methods Randomization to intervention and control groups was performed to 231 retirees (mean age 65.2 (SD 1.1) years, 83% women). Intervention participants wore a consumer-based wrist-worn Activity Tracker (Polar Loop 2, Polar, Kempele, Finland), including daily Activity goal, every day and night for 12 months. The Activity Tracker also gave vibrating reminders to break up uninterrupted inActivity periods after 55 minutes. A wrist-worn triaxial ActiGraph wGT3X-BT accelerometer was used to measure sedentary time at baseline and at 3-, 6- and 12-month time points. Results The use of an Activity Tracker did not reduce daily total or prolonged sedentary time over 12 months (p values for time*group interaction 0.27 and 0.39, respectively). In the post-hoc analysis focusing on short- and medium-term effects on prolonged sedentary time, no differences between the intervention and control groups over three months were found, but a tendency for a greater decrease in prolonged sedentary time in the intervention group over six months was seen (mean difference in changes between the groups 29 min, 95% CI -2 to 61). Conclusions The Activity Tracker with inActivity alerts did not elicit changes in sedentary time over 12 months among recent retirees. Alternative approaches may be needed to achieve long-term changes in sedentary time among retirees.
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the effect of consumer based Activity Tracker intervention on physical Activity among recent retirees an rct study
Medicine and Science in Sports and Exercise, 2021Co-Authors: Tuija Leskinen, Kristin Suorsa, Anna Pulakka, Jaana Pentti, Eliisa Loyttyniemi, Ilkka Heinonen, Jussi Vahtera, Miika Tuominen, Sari StenholmAbstract:PURPOSE The randomized controlled trial REACT (NCT03320746) examined the effect of a 12-month consumer-based Activity Tracker intervention on accelerometer-measured physical Activity among recent retirees. METHODS Altogether 231 recently retired Finnish adults (age, 65.2 ± 1.1 yr, mean ± SD; 83% women) were randomized to intervention and control groups. Intervention participants were requested to wear a commercial wrist-worn Activity Tracker (Polar Loop 2; Polar, Kempele, Finland) for 12 months, to try to reach the daily Activity goals shown on the Tracker display, and to upload their Activity data to a Web-based program every week. The control group received no intervention. Accelerometer-based outcome measurements of daily total, light physical Activity (LPA), and moderate to vigorous (MVPA) physical Activity were conducted at baseline and at 3-, 6-, and 12-month time points. Hierarchical linear mixed models were used to examine the differences between the groups over time. All analyses were performed by intention-to-treat principle and adjusted for wake wear time. RESULTS The use of a commercial Activity Tracker did not increase daily total Activity, LPA, or MVPA over the 12-months period when compared with nonuser controls (group-time interaction, P = 0.39, 0.23, and 0.77, respectively). There was an increase in LPA over the first 6 months in both the intervention (26 min·d-1, 95% confidence interval [CI] = 13 to 39) and the control (14 min·d-1, 95% CI = 1 to 27) groups, but the difference between the groups was not significant (12 min·d-1, 95% CI = -6 to 30). In both groups, LPA decreased from 6 to 12 months. CONCLUSION The 12-month use of a commercial Activity Tracker does not appear to elicit significant changes in the daily total Activity among a general population sample of recent retirees, thus highlighting the need to explore other alternatives to increase physical Activity in this target group.
Charlotte L Brakenridge - One of the best experts on this subject based on the ideXlab platform.
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usage acceptability and effectiveness of an Activity Tracker in a randomized trial of a workplace sitting intervention mixed methods evaluation
The Journal of medical research, 2018Co-Authors: Charlotte L Brakenridge, Elisabeth A H Winkler, Genevieve N Healy, Brianna S FjeldsoeAbstract:Background: Wearable Activity Trackers are now a common feature of workplace wellness programs; however, their ability to impact sitting time (the behavior in which most of the desk-based workday is spent) is relatively unknown. This study evaluated the LUMOback, an Activity Tracker that targets sitting time, as part of a cluster-randomized workplace sitting intervention in desk-based office workers. Objective: Study objectives were to explore: (1) office workers’ self-directed LUMOback use, (2) individual-level characteristics associated with LUMOback use, (3) the impact of LUMOback use on Activity and sitting behaviors, and (4) office workers’ perceived LUMOback acceptability. Methods: Exploratory analyses were conducted within the Activity Tracker intervention group (n=66) of a 2-arm cluster-randomized trial (n=153) with follow-up at 3 and 12 months. The intervention, delivered from within the workplace, consisted of organizational support strategies (eg, manager support, emails) to stand up, sit less, and move more, plus the provision of a LUMOback Activity Tracker. The LUMOback, worn belted around the waist, provides real-time sitting feedback through a mobile app. LUMOback usage data (n=62), Web-based questionnaires (n=33), activPAL-assessed sitting, prolonged (≥30 min bouts) and nonprolonged (<30 min bouts) sitting, standing and stepping time (7-day, 24 h/day protocol; n=40), and telephone interviews (n=27) were used to evaluate study aims. LUMOback usage data were downloaded and described. Associations between user characteristics and LUMOback usage (in the first 3 months) were analyzed using zero-inflated negative binomial models. Associations between LUMOback usage and 3-month Activity outcomes were analyzed using mixed models, correcting for cluster. LUMOback acceptability was explored using 3-month questionnaire data and thematic analysis of telephone interviews (conducted 6 to 10 months post intervention commencement). Results: Tracker uptake was modest (43/61, 70%), and among users, usage over the first 3 months was low (1-48 days, median 8). Usage was greatest among team leaders and those with low self-perceived scores for job control and supervisor relationships. Greater Tracker use (≥5 days vs <5 days) was significantly associated only with changes in prolonged unbroken sitting (−50.7 min/16 h; 95% CI −94.0 to −7.3; P=.02) during all waking hours, and changes in nonprolonged sitting (+32.5 min/10 h; 95% CI 5.0 to 59.9; P=.02) during work hours. Participants found the LUMOback easy to use but only somewhat comfortable. Qualitatively, participants valued the real-time app feedback. Nonuptake was attributed to being busy and setup issues. Low usage was attributed to discomfort wearing the LUMOback. Conclusions: The LUMOback—although able to reduce prolonged sitting time—was only used to a limited extent, and its low usage may provide a partial explanation for the limited behavior changes that occurred. Discomfort limited the feasibility of the LUMOback for ongoing use. Such findings yield insight into how to improve upon implementing Activity Trackers in workplace settings. [Interact J Med Res 2018;7(1):e5]
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evaluating the effectiveness of organisational level strategies with or without an Activity Tracker to reduce office workers sitting time a cluster randomised trial
International Journal of Behavioral Nutrition and Physical Activity, 2016Co-Authors: Charlotte L Brakenridge, Brianna S Fjeldsoe, Duncan C Young, Elisabeth A H Winkler, David W Dunstan, Leon Straker, Genevieve N HealyAbstract:Office workers engage in high levels of sitting time. Effective, context-specific, and scalable strategies are needed to support widespread sitting reduction. This study aimed to evaluate organisational-support strategies alone or in combination with an Activity Tracker to reduce sitting in office workers. From one organisation, 153 desk-based office workers were cluster-randomised (by team) to organisational support only (e.g., manager support, emails; ‘Group ORG’, 9 teams, 87 participants), or organisational support plus LUMOback Activity Tracker (‘Group ORG + Tracker’, 9 teams, 66 participants). The waist-worn Tracker provided real-time feedback and prompts on sitting and posture. ActivPAL3 monitors were used to ascertain primary outcomes (sitting time during work- and overall hours) and other Activity outcomes: prolonged sitting time (≥30 min bouts), time between sitting bouts, standing time, stepping time, and number of steps. Health and work outcomes were assessed by questionnaire. Changes within each group (three- and 12 months) and differences between groups were analysed by linear mixed models. Missing data were multiply imputed. At baseline, participants (46 % women, 23–58 years) spent (mean ± SD) 74.3 ± 9.7 % of their workday sitting, 17.5 ± 8.3 % standing and 8.1 ± 2.7 % stepping. Significant (p < 0.05) reductions in sitting time (both work and overall) were observed within both groups, but only at 12 months. For secondary Activity outcomes, Group ORG significantly improved in work prolonged sitting, time between sitting bouts and standing time, and overall prolonged sitting time (12 months), and in overall standing time (three- and 12 months); while Group ORG + Tracker, significantly improved in work prolonged sitting, standing, stepping and overall standing time (12 months). Adjusted for confounders, the only significant between-group differences were a greater stepping time and step count for Group ORG + Tracker relative to Group ORG (+20.6 min/16 h day, 95 % CI: 3.1, 38.1, p = 0.021; +846.5steps/16 h day, 95 % CI: 67.8, 1625.2, p = 0.033) at 12 months. Observed changes in health and work outcomes were small and not statistically significant. Organisational-support strategies with or without an Activity Tracker resulted in improvements in sitting, prolonged sitting and standing; adding a Tracker enhanced stepping changes. Improvements were most evident at 12 months, suggesting the organisational-support strategies may have taken time to embed within the organisation. Australian New Zealand Clinical Trial Registry: ACTRN12614000252617 . Registered 10 March 2014.
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organizational level strategies with or without an Activity Tracker to reduce office workers sitting time rationale and study design of a pilot cluster randomized trial
JMIR Research Protocols, 2016Co-Authors: Charlotte L Brakenridge, Brianna S Fjeldsoe, Duncan C Young, David W Dunstan, Leon Straker, Genevieve N Healy, Elizabeth WinklerAbstract:Background: The office workplace is a key setting in which to address excessive sitting time and inadequate physical Activity. One major influence on workplace sitting is the organizational environment. However, the impact of organizational-level strategies on individual level Activity change is unknown. Further, the emergence of sophisticated, consumer-targeted wearable Activity Trackers that facilitate real-time self-monitoring of Activity, may be a useful adjunct to support organizational-level strategies, but to date have received little evaluation in this workplace setting. Objective: The aim of this study is to evaluate the feasibility, acceptability, and effectiveness of organizational-level strategies with or without an Activity Tracker on sitting, standing, and stepping in office workers in the short (3 months, primary aim) and long-term (12 months, secondary aim). Methods: This study is a pilot, cluster-randomized trial (with work teams as the unit of clustering) of two interventions in office workers: organizational-level support strategies (eg, visible management support, emails) or organizational-level strategies plus the use of a waist-worn Activity Tracker (the LUMOback) that enables self-monitoring of sitting, standing, and stepping time and enables users to set sitting and posture alerts. The key intervention message is to ‘Stand Up, Sit Less, and Move More.’ Intervention elements will be implemented from within the organization by the Head of Workplace Wellbeing. Participants will be recruited via email and enrolled face-to-face. Assessments will occur at baseline, 3, and 12 months. Time spent sitting, sitting in prolonged (≥30 minute) bouts, standing, and stepping during work hours and across the day will be measured with activPAL3 Activity monitors (7 days, 24 hours/day protocol), with total sitting time and sitting time during work hours the primary outcomes. Web-based questionnaires, LUMOback recorded data, telephone interviews, and focus groups will measure the feasibility and acceptability of both interventions and potential predictors of behavior change. Results: Baseline and follow-up data collection has finished. Results are expected in 2016. Conclusions: This pilot, cluster-randomized trial will evaluate the feasibility, acceptability, and effectiveness of two interventions targeting reductions in sitting and increases in standing and stepping in office workers. Few studies have evaluated these intervention strategies and this study has the potential to contribute both short and long-term findings. [JMIR Res Protoc 2016;5(2):e73]
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organizational level strategies with or without an Activity Tracker to reduce office workers sitting time rationale and study design of a pilot cluster randomized trial
JMIR Research Protocols, 2016Co-Authors: Charlotte L Brakenridge, Brianna S Fjeldsoe, Duncan C Young, David W Dunstan, Leon Straker, Genevieve N Healy, Elizabeth WinklerAbstract:Background: The office workplace is a key setting in which to address excessive sitting time and inadequate physical Activity. One major influence on workplace sitting is the organizational environment. However, the impact of organizational-level strategies on individual level Activity change is unknown. Further, the emergence of sophisticated, consumer-targeted wearable Activity Trackers that facilitate real-time self-monitoring of Activity, may be a useful adjunct to support organizational-level strategies, but to date have received little evaluation in this workplace setting. Objective: The aim of this study is to evaluate the feasibility, acceptability, and effectiveness of organizational-level strategies with or without an Activity Tracker on sitting, standing, and stepping in office workers in the short (3 months, primary aim) and long-term (12 months, secondary aim). Methods: This study is a pilot, cluster-randomized trial (with work teams as the unit of clustering) of two interventions in office workers: organizational-level support strategies (eg, visible management support, emails) or organizational-level strategies plus the use of a waist-worn Activity Tracker (the LUMOback) that enables self-monitoring of sitting, standing, and stepping time and enables users to set sitting and posture alerts. The key intervention message is to ‘Stand Up, Sit Less, and Move More.’ Intervention elements will be implemented from within the organization by the Head of Workplace Wellbeing. Participants will be recruited via email and enrolled face-to-face. Assessments will occur at baseline, 3, and 12 months. Time spent sitting, sitting in prolonged (≥30 minute) bouts, standing, and stepping during work hours and across the day will be measured with activPAL3 Activity monitors (7 days, 24 hours/day protocol), with total sitting time and sitting time during work hours the primary outcomes. Web-based questionnaires, LUMOback recorded data, telephone interviews, and focus groups will measure the feasibility and acceptability of both interventions and potential predictors of behavior change. Results: Baseline and follow-up data collection has finished. Results are expected in 2016. Conclusions: This pilot, cluster-randomized trial will evaluate the feasibility, acceptability, and effectiveness of two interventions targeting reductions in sitting and increases in standing and stepping in office workers. Few studies have evaluated these intervention strategies and this study has the potential to contribute both short and long-term findings.
Kevin E Thorpe - One of the best experts on this subject based on the ideXlab platform.
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Activity Tracker to prescribe various exercise intensities in breast cancer survivors
Medicine and Science in Sports and Exercise, 2019Co-Authors: Jessica Mcneil, Darren R Brenner, Chelsea R Stone, Rachel Oreilly, Yibing Ruan, Jeff K Vallance, Kerry S Courneya, Kevin E ThorpeAbstract:Purpose: To prescribe different physical Activity (PA) intensities using Activity Trackers to increase PA, reduce sedentary time, and improve health outcomes among breast cancer survivors. The maintenance effect of the interventions on study outcomes was also assessed. Methods: The Breast Cancer and Physical Activity Level pilot trial randomized 45 breast cancer survivors to a home-based, 12-wk lower (300 min·wk-1 at 40%–59% of HR reserve) or higher-intensity PA (150 min·wk-1 at 60%–80% of HR reserve), or no PA intervention/control. Both intervention groups received Polar A360® Activity Trackers. Study outcomes assessed at baseline, 12 and 24 wk included PA and sedentary time (ActiGraph GT3X+), health-related fitness (e.g., body composition, cardiopulmonary fitness/VO2max), and patient-reported outcomes (e.g., quality of life). Intention-to-treat analyses were conducted using linear mixed models and adjusted for baseline outcomes. Results: Increases in moderate-vigorous intensity PA (least squares adjusted group difference [LSAGD], 0.6; 95% confidence interval [CI], 0.1–1.0) and decreases in sedentary time (LSAGD, -1.2; 95% CI, -2.2 to -0.2) were significantly greater in the lower-intensity PA group versus control at 12 wk. Increases in VO2max at 12 wk in both interventions groups were significantly greater than changes in the control group (lower-intensity PA group LSAGD, 4.2; 95% CI, 0.5–8.0 mL·kg-1·min-1; higher-intensity PA group LSAGD, 5.4; 95% CI, 1.7–9.1mL·kg-1·min-1). Changes in PA and VO2max remained at 24wk, but differences between the intervention and control groups were no longer statistically significant. Conclusions: Increases in PA time and cardiopulmonary fitness/VO2max can be achieved with both lower- and higher-intensity PA interventions in breast cancer survivors. Reductions in sedentary time were also noted in the lower-intensity PA group.
Youngdeok Kim - One of the best experts on this subject based on the ideXlab platform.
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the influence of a consumer wearable Activity Tracker on sedentary time and prolonged sedentary bouts secondary analysis of a randomized controlled trial
BMC Research Notes, 2018Co-Authors: Robert A Sloan, Youngdeok Kim, Aarti Sahasranaman, Falk Mullerriemenschneider, Stuart J H Biddle, Eric A FinkelsteinAbstract:A recent meta-analysis surmised pedometers were a useful panacea to independently reduce sedentary time (ST). To further test and expand on this deduction, we analyzed the ability of a consumer-wearable Activity Tracker to reduce ST and prolonged sedentary bouts (PSB). We originally conducted a 12-month randomized control trial where 800 employees from 13 organizations were assigned to control, Activity Tracker, or one of two Activity Tracker plus incentive groups designed to increase step count. The primary outcome was accelerometer measured moderate-to-vigorous physical Activity. We conducted a secondary analysis on accelerometer measured daily ST and PSB bouts. A general linear mixed model was used to examine changes in ST and prolonged sedentary bouts, followed by between-group pairwise comparisons. Regression analyses were conducted to examine the association of changes in step counts with ST and PSB. The changes in ST and PSB were not statistically significant and not different between the groups (P < 0.05). Increases in step counts were concomitantly associated with decreases in ST and PSB, regardless of intervention (P < 0.05). Caution should be taken when considering consumer-wearable Activity Trackers as a means to reduce sedentary behavior. Trial registration NCT01855776 Registered: August 8, 2012
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promoting physical Activity using a wearable Activity Tracker in college students a cluster randomized controlled trial
Journal of Sports Sciences, 2018Co-Authors: Youngdeok Kim, Angela Lumpkin, Marc Lochbaum, Steven Stegemeier, Karla KittenAbstract:This study examined the effects of utilizing a wearable Activity Tracker in a credit-based physical Activity instructional program (PAIP) for promoting physical Activity (PA) in college students. Fourteen PAIP courses in a large public university were randomly assigned into intervention (k = 7; n = 101) and control (k = 7; n = 86) groups. All courses focused on a core curriculum that covers basic exercise and behavioral science contents through lectures and Activity sessions. A Misfit Flash Activity Tracker was provided to students in the intervention group. Objective PA assessments occurred at baseline, mid-, and end-of-semester during a 15-week academic semester. The control group showed a significant reduction in moderate- and vigorous-intensity PA (MVPA) minutes from baseline to the end-of-semester (P <.05), whereas the intervention group showed no changes in MVPA minutes over time. However, the intervention group also showed increased sedentary time and decreased time spent in light-intensity PA during the intervention period. Taken together, the present study found null effects of utilizing the wearable Activity Tracker in promoting PA in college students suggesting that intervention of primary using the wearable Activity Tracker as a behavior change strategy may not be effective to increase in PA in this setting.
